Gerben Oostra is a machine learning engineer that loves to solve complex problems. Originally graduated on algorithmic approaches in operations research, he switched to data science challenges about 10 years ago. Since then he has been applying data science and data engineering in various companies, among which NFI, ING and Vodafone/Ziggo. He therefore gained data science experience on a variety of challenges, including social network analysis, time series forecasting, anomaly (fraud) detection, natural language processing and Bayesian modelling. More recently he has focused on solving churn cases, allowing him to combine his enthusiasm about both Bayesian modelling and time-series on a real life problems.
Saturday 15:10–15:45 in General Room 1